Individual Health Insurance Cost Prediction
Daniil Lypenets
Python
8 Chapters
0 Studying now
A hands-on case study where you will analyze, visualize, and model individual health insurance costs using Python and pandas. You will clean and explore the data, extract insights, preprocess features, build a regression model, and interpret the results to understand what drives insurance pricing.
Kursbeschreibung
A hands-on case study where you will analyze, visualize, and model individual health insurance costs using Python and pandas. You will clean and explore the data, extract insights, preprocess features, build a regression model, and interpret the results to understand what drives insurance pricing.
Technologie
Python
Sprache
En
Bewertung
Kapitel
8
Data Inspection & Cleaning
Exploratory Data Analysis (EDA)
Feature Relationships & Insights
Data Preprocessing
Model Building (Linear Regression)
Model Evaluation
Visualization & Interpretation
Summary & Next Steps
0%
Data Inspection & Cleaning
Exploratory Data Analysis (EDA)
Feature Relationships & Insights
Data Preprocessing
Model Building (Linear Regression)
Model Evaluation
Visualization & Interpretation
Summary & Next Steps
